App Development Studio for AI Agents, Mobile & Web Apps

Read-Copy-Update versus Reader-Writer Locks: Overcoming Concurrency Bottlenecks in System Architecture

High-throughput read-heavy workloads frequently encounter severe scaling bottlenecks when using traditional synchronization primitives. While standard reader-writer locks allow concurrent reads, acquiring shared access forces cache invalidation traffic across increasing core counts.

Scale AI Workloads: Categorizing LLM Inference Patterns to Avoid Production Bottlenecks

How to categorize distinct LLM inference workloads to scale AI architectures efficiently in production. Avoid common pitfalls tied to model API dependencies and hidden infrastructure costs.

Moving Beyond Prototypes: Engineering practical AI Agents

Transitioning AI agents from simple prompt-response loops to enterprise-grade systems requires addressing latency, context management, and infrastructure scalability.

Moving Beyond Ad-Hoc Control Flow in AI Agent Orchestration

Production AI agents require structured orchestration to handle complex branching and human-in-the-loop requirements. Learn how graph-based execution models replace brittle ad-hoc control flow.

Inference Scaling Bottlenecks in Reasoning-Heavy AI Workloads

Reasoning-heavy AI workloads shift infrastructure requirements from compute-bound prefill to memory-bound generation. Architects must optimize parallelism strategies to avoid performance cliffs.

Quantifying Agentic Scaling: Coordination Structures and Task Properties

Moving beyond heuristics, new research quantifies how coordination structures and task properties impact AI agent performance. Architects can now predict scaling behavior across diverse agentic configurations.

Building Agent Harnesses for Production AI Coding Agents

Deploying AI coding agents into production requires moving beyond simple prompt engineering toward rigorous harness engineering. Unlike deterministic software, autonomous agents exhibit emergent behaviors that demand specialized testing environments.